It means performance reviews and outcomes will be backed by solid data, and not just frameworks and policies, which will now be used as a support tool rather than the main anchor of reviews.
It means performance reviews and outcomes will be backed by solid data, and not just frameworks and policies, which will now be used as a support tool rather than the main anchor of reviews.
It equips our managers to handle salary conversations better and helps us assess agency progress.
Using both Lightcast data and self-reported sources is powerful, especially for niche roles in a global business.
You are able to combine benchmarking data sets together to create ranges based on job posts and salary data from Mercer.

Every single person in the company has their own range. Before, we had a tech range, an ops range, a commercial range, a software range - and people were very confused about where they saw themselves in these huge ranges.
That kind of multi-market analysis used to take me two to three hours, easily. With Compensation IQ, I probably did it in 30 minutes.
It's definitely saved us time. It's been interesting to cut that data in different ways. The opportunities - we've probably not fully explored it yet.
There's a lot of benchmarks on there. Compensation IQ is capturing a lot of data, and that's what stood out to me - and having a lot of benchmarks gives me a lot of confidence.
When I've given the data behind it, no one's challenged it. We've shared it. The first question is always 'where did you get this?' - and now we have the answer.
About Energy replaced AI-estimated salary data with Compensation IQ's multi-source benchmarks, giving every one of its 18 specialist science and engineering roles its own defensible range.
90% pay data confidence
About Energy replaced AI-estimated salary data with Compensation IQ's multi-source benchmarks, giving every one of its 18 specialist science and engineering roles its own defensible range.
90% pay data confidence
A 40-strong digital consultancy in Liverpool moved from days of spreadsheet work and recruiter calls to evidence-based pay decisions in hours, and now uses Compensation IQ across recruitment, reporting and workforce planning.
9/10 rating, would recommend
A regulated fin tech operating across finance, technology and insurance needed benchmarking that worked for every business area, not just the tech roles. Compensation IQ's multi-source data and HRIS integration made it possible.
10/10 rating, would recommend
A globally distributed talent solutions team moved from weeks of manual research to instant access to live benchmark data, freeing them to commit to six-monthly pay reviews focused on internal equity.
From weeks to instant benchmarking
With around 200 people across seven countries and a workforce that other platforms were not built for, Zoomo's Global Head of Talent now lands every pay decision with a defensible source behind the number.
Zero stakeholder challenges to salary benchmarks